SVM-light Version V5.00
0 # kernel type
3 # kernel parameter -d 
1 # kernel parameter -g 
1 # kernel parameter -s 
1 # kernel parameter -r 
empty# kernel parameter -u 
50 # highest feature index 
1039 # number of training documents 
48 # number of support vectors plus 1 
1.0004226 # threshold b, each following line is a SV (starting with alpha*y)
-42.584638292676175 4:0.01509 9:0.035038002 32:0.03018 43:0.035038002 
86.729587274999417 4:0.014503 6:0.014503 30:0.029007001 31:0.040716 36:0.037491001 
-4.5115275997234683 4:0.0084009999 6:0.0084009999 8:0.019506 9:0.117038 31:0.023584001 32:0.016802 43:0.019506 44:0.013315 47:0.026629999 48:0.029062999 
86.729587274999417 9:0.154579 47:0.070344001 50:0.062298 
-3.9365751032142029 4:0.0087040002 8:0.040422 9:0.14147601 31:0.048872001 39:0.020211 41:0.022500001 44:0.013796 47:0.027592 
86.729587274999417 44:0.017341999 
-67.412473316769706 2:0.010092 4:0.020184999 30:0.020184999 31:0.056666002 36:0.026089 
86.729587274999417 30:0.028565001 42:0.066326 43:0.066326 
86.729587274999417 2:0.014515 6:0.014515 39:0.033702999 42:0.067405 
86.729587274999417 2:0.010327 34:0.068609998 40:0.032735001 41:0.026694 
-1.7398651380933714 6:0.031849999 7:0.050482001 34:0.317415 38:0.063700996 42:0.147909 
-1.0100105849460306 4:0.029580999 30:0.059161998 31:0.166089 32:0.059161998 42:0.13737001 44:0.046884999 
-1.7664256313771634 6:0.012434 45:0.041305002 47:0.039414998 
-86.729587274999417 2:0.0086759999 43:0.020145999 47:0.027503001 
-10.492683376238661 6:0.016549001 42:0.26898199 
-0.0028184868945118069 6:0.0089210002 36:0.023061 44:0.04242 
86.729587274999417 4:0.024298999 32:0.024298999 34:0.08072 38:0.024298999 42:0.056421001 
86.729587274999417 4:0.011224 30:0.022449 31:0.031511001 34:0.074574001 
-43.57467835159126 2:0.019644 6:0.058931001 38:0.039287999 42:0.091223001 
-38.021106596056356 2:0.013723 4:0.013723 6:0.013723 31:0.038525999 
86.729587274999417 2:0.012768 6:0.025536001 36:0.033004999 38:0.025536001 
-17.833318951327875 2:0.019369001 6:0.019369001 
-3.1155356575959274 4:0.013736 6:0.027472001 36:0.035507001 44:0.065312997 
-0.047180243007958519 2:0.007975 47:0.025281001 49:0.156727 
86.729587274999417 2:0.014421 6:0.014421 42:0.033484001 
86.729587274999417 4:0.040227 34:0.066816002 
-23.510768567136843 2:0.010992 6:0.010992 9:0.025522999 30:0.17587399 36:0.056828 
-73.762616892759539 34:0.070900999 42:0.049557999 50:0.029959001 
-86.724846631158755 6:0.01737 
86.729587274999417 6:0.012916 44:0.020471999 
-28.223369418673954 6:0.013535 38:0.081208996 
-86.729587274999417 34:0.117178 42:0.081904002 
-11.099457103712439 2:0.021623001 4:0.010812 9:0.025103001 34:0.035914999 36:0.027946999 
-86.729587274999417 4:0.02809 34:0.093313999 
-86.729587274999417 4:0.014876 9:0.069082998 
-10.05412412318333 30:0.043205999 34:0.071764 36:0.055842999 38:0.021602999 42:0.100322 
-15.151466725456089 2:0.0076660002 4:0.0076660002 9:0.035597999 32:0.015331 
-31.841416171607747 2:0.011356 6:0.011356 43:0.026368 44:0.089994997 
-76.579486574043102 4:0.011833 39:0.027476 47:0.03751 
-2.9886025453576845 4:0.010811 30:0.064866997 41:0.055893 43:0.050206002 
-1.4319131494591346 2:0.0089779999 6:0.0089779999 30:0.017955 33:0.037436001 34:0.029823 35:0.036695998 36:0.139241 40:0.085375004 41:0.023207 44:0.028458999 47:0.056917001 
-10.056150266683858 4:0.0084239999 9:0.21515401 31:0.047297001 32:0.016848 37:0.025271 46:0.025271 
-25.737698170814141 2:0.0085270004 6:0.017054001 36:0.022042001 41:0.066125996 50:0.023938 
-16.396757138238513 4:0.0105 9:0.073142 32:0.021 39:0.048760999 43:0.024381001 
-13.893671276738438 6:0.013212 50:0.185459 
-8.8737917879372485 2:0.007034 3:0.011148 4:0.007034 42:0.048996001 43:0.114325 
-21.461724327522148 2:0.005719 6:0.005719 30:0.034311999 36:0.059129 40:0.126893 41:0.014782 47:0.018127 
